Topic sentiment analysis using words embeddings dependency in edge social system
暂无分享,去创建一个
Xianghua Fu | Xi Zhang | Jingying Yang | Yu Lu | Wenhao Xie | Yanzhi Wei | Xianghua Fu | Yu Lu | Xi Zhang | Jingying Yang | Wenhao Xie | Yanzhi Wei
[1] Alex Graves,et al. Long Short-Term Memory , 2020, Computer Vision.
[2] Zenglin Xu,et al. Neural Relational Topic Models for Scientific Article Analysis , 2018, CIKM.
[3] Surya T. Tokdar,et al. Bayesian Analysis of Dynamic Linear Topic Models , 2015, Bayesian Analysis.
[4] Stefan M. Rüger,et al. Weakly Supervised Joint Sentiment-Topic Detection from Text , 2012, IEEE Transactions on Knowledge and Data Engineering.
[5] Andrey Kutuzov,et al. WebVectors: A Toolkit for Building Web Interfaces for Vector Semantic Models , 2016, AIST.
[6] Chunyan Miao,et al. Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach , 2017, IEEE Transactions on Knowledge and Data Engineering.
[7] Taeyoung Park,et al. Partially collapsed Gibbs sampling for latent Dirichlet allocation , 2019, Expert Syst. Appl..
[8] Elliot Meyerson,et al. Evolving Deep Neural Networks , 2017, Artificial Intelligence in the Age of Neural Networks and Brain Computing.
[9] Vladimir Vargas-Calderón,et al. Characterization of citizens using word2vec and latent topic analysis in a large set of tweets , 2019, ArXiv.
[10] Mark Sanderson,et al. Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press 2008. ISBN-13 978-0-521-86571-5, xxi + 482 pages , 2010, Natural Language Engineering.
[11] Xu Ling,et al. Topic sentiment mixture: modeling facets and opinions in weblogs , 2007, WWW '07.
[12] Mahmoud Nabil,et al. CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification , 2016, *SEMEVAL.
[13] Fakhri Karray,et al. Tools and approaches for topic detection from Twitter streams: survey , 2017, Knowledge and Information Systems.
[14] Jon Atle Gulla,et al. RETRACTED ARTICLE: A joint model for analyzing topic and sentiment dynamics from large-scale online news , 2017, World Wide Web.
[15] Shuai Wang,et al. Deep learning for sentiment analysis: A survey , 2018, WIREs Data Mining Knowl. Discov..
[16] Qi Zhang,et al. An unsupervised topic-sentiment joint probabilistic model for detecting deceptive reviews , 2018, Expert Syst. Appl..
[17] Chong Wang,et al. A General Method for Robust Bayesian Modeling , 2015, Bayesian Analysis.
[18] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[19] Thomas Hofmann,et al. Probabilistic Latent Semantic Indexing , 1999, SIGIR Forum.
[20] Erik Cambria,et al. Recent Trends in Deep Learning Based Natural Language Processing , 2017, IEEE Comput. Intell. Mag..
[21] Erik Cambria,et al. Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling , 2018, Knowl. Based Syst..
[22] Masataka Goto. A predominant-F/sub 0/ estimation method for CD recordings: MAP estimation using EM algorithm for adaptive tone models , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[23] Heyan Huang,et al. Conceptualization topic modeling , 2017, Multimedia Tools and Applications.
[24] Lianhai Wang,et al. Linking Multiple Online Identities in Criminal Investigations: A Spectral Co-Clustering Framework , 2017, IEEE Transactions on Information Forensics and Security.
[25] Hua Wang,et al. Emerging Topic Detection from Microblog Streams Based on Emerging Pattern Mining* , 2018, 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)).
[26] Erik Cambria,et al. OntoSenticNet: A Commonsense Ontology for Sentiment Analysis , 2018, IEEE Intelligent Systems.
[27] Anit Chakraborty,et al. A Fuzzy Logic Inspired Approach for Social Media Sentiment Analysis via Deep Neural Network , 2018 .
[28] Dong-Hong Ji,et al. A short text sentiment-topic model for product reviews , 2018, Neurocomputing.
[29] David Robinson,et al. Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network , 2018, ESWC.
[30] Guixian Xu,et al. Research on Topic Detection and Tracking for Online News Texts , 2019, IEEE Access.
[31] Jorge Nocedal,et al. Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.
[32] Mark Dredze,et al. Sprite: Generalizing Topic Models with Structured Priors , 2015, TACL.
[33] Laizhong Cui,et al. Weakly supervised topic sentiment joint model with word embeddings , 2018, Knowl. Based Syst..
[34] Koji Eguchi,et al. Sequential Bayesian Nonparametric Multimodal Topic Models for Video Data Analysis , 2018, IEICE Trans. Inf. Syst..
[35] Yulan He,et al. TDAM: a Topic-Dependent Attention Model for Sentiment Analysis , 2019, Inf. Process. Manag..
[36] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[37] Ge Yu,et al. Multimodal learning for topic sentiment analysis in microblogging , 2017, Neurocomputing.
[38] Sabine Loudcher,et al. A joint model for topic-sentiment modeling from text , 2015, SAC.
[39] Kim-Kwang Raymond Choo,et al. A model for sentiment and emotion analysis of unstructured social media text , 2018, Electron. Commer. Res..
[40] Guilin Qi,et al. Detecting bursts in sentiment-aware topics from social media , 2018, Knowl. Based Syst..
[41] Yezheng Liu,et al. Identifying impact of intrinsic factors on topic preferences in online social media: A nonparametric hierarchical Bayesian approach , 2018, Inf. Sci..
[42] Md. Mustafizur Rahman,et al. Hidden Topic Sentiment Model , 2016, WWW.
[43] Laizhong Cui,et al. Topic Sentiment Joint Model with Word Embeddings , 2016, DMNLP@PKDD/ECML.
[44] Yuriy Gorodnichenko,et al. Social Media, Sentiment and Public Opinions: Evidence from #Brexit and #Uselection , 2018, European Economic Review.
[45] Xin Wang,et al. Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory , 2015, ACL.
[46] Yanchun Zhang,et al. Bayesian Sparse Topical Coding , 2019, IEEE Transactions on Knowledge and Data Engineering.
[47] Yulan He,et al. Joint sentiment/topic model for sentiment analysis , 2009, CIKM.
[48] Ting Liu,et al. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification , 2015, EMNLP.
[49] Alexander F. Gelbukh,et al. Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling , 2018, TRAC@COLING 2018.